Ipcs.m
3D reconstruction of paramagnetic centre probability density from PCS data using Kuprov-Charnock equation (http://dx.doi.org/10.1039/C4CP03106G).
Syntax
[source_cube,ranges,pred_pcs,diag_data]=ipcs(parameters,npoints,lambda)
Description
This function implements the three-dimensional paramagnetic centre probability density algorithm described in our forthcoming paper on the subject. The user needs to supply atomic coordinates and pseudocontact shifts. The algorithm uses Tikhonov regularisation.
Arguments
parameters.xyz - nuclear coordinates as [x y z] with multiple rows
at which PCS has been measured, in Angstroms.
parameters.xyz_all - atomic coordinates as [x y z] with multiple rows
for all atoms in the structure, in Angstroms.
parameters.expt_pcs - pseudocontact shift in ppm at each nucleus.
parameters.chi - effective magnetic susceptibility tensor, in units
of Angstrom^3.
parameters.margins - a six-element vector specifying margins to take
around the bounding box of the nuclear coordina-
tes supplied, to eliminate the effects of the
periodic boundary conditions.
parameters.box_cent - Cartesian coordinates of the centre of the solu-
tion box, in Angstrom
parameters.box_size - size of the source box in X, Y, and Z directi-
ons, in Angstrom
parameters.plot - a cell array of strings specifying the plotting
options at each iteration:
'diagnostics' - diagnostic output
'density' - probability density
'molecule' - molecular structure
'tightzoom' - zooms the plot to the
molecular bounding box
'box' - source box
parameters.confine - source confinement radii (a two-element vector
in Angstrom). The density would only be varied
in points that are no closer than the first ra-
dius to any atom and no further away than the
second radius from the nearest atom.
parameters.sharpen - source contrast control; leave at zero unless
you know what you are doing.
parameters.gpu - set to 1 of you have an NVidia GPU, otherwise
set to 0.
npoints - number of grid points in each dimension of the
solution cube, a positive integer greater than 10.
lambda - Tikhonov regularization parameter.
Returns
source_cube - source term cube with dimensions ordered as
[X Y Z].
ranges - Cartesian axis extents for the source cube as
[xmin xmax ymin ymax zmin zmax] in Angstroms.
pred_pcs - pseudocontact shifts produced by the source
cube returned in the first parameter.
diag_data - the first element is the least squares error
in ppm^2, the second element is the entropy
penalty in the error functional, the third
element is the Tikhonov penalty in the error
functional.
Examples
See the pseudocontact shift analysis tutorial and the examples in nmr_paramag directory of the standard example set supplied with Spinach.
Notes
For further information on the equations and algorithms used in this function see http://dx.doi.org/10.1039/C4CP03106G